质疑身份:不同的受访者如何回答有关民族和种族的标准问题

IF 1.1 3区 社会学 Q2 ANTHROPOLOGY Field Methods Pub Date : 2023-05-24 DOI:10.1177/1525822x231173805
D. Garbarski, Jennifer Dykema, Cameron P. Jones, Tiffany S. Neman, N. C. Schaeffer, Dorothy Farrar Edwards
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引用次数: 0

摘要

民族身份是指人们用来对自己和他人进行分类的种族和民族类别。在调查中如何衡量它对理解不平等有着重要意义。然而,人们的自我识别方式可能不符合标准化调查问题用于衡量种族和种族的类别,从而导致潜在的测量误差。在面试官管理的调查中,调查问题的答案是通过面试官与受访者的互动来实现的。对面试官与受访者互动的分析可以说明受访者是否、何时、如何以及为什么会遇到问题。在这项研究中,我们考察了当受访者回答有关种族和种族的问题时,不同种族群体的访谈者-受访者互动问题的指标是如何变化的。此外,我们还探讨了面试官在面对这些互动问题时的反应。数据由2013-2014年声音听力调查提供,这是一项计算机辅助的电话调查,旨在衡量种族多样的受访者对参与医学研究的看法。
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Questioning Identity: How a Diverse Set of Respondents Answer Standard Questions About Ethnicity and Race
Ethnoracial identity refers to the racial and ethnic categories that people use to classify themselves and others. How it is measured in surveys has implications for understanding inequalities. Yet how people self-identify may not conform to the categories standardized survey questions use to measure ethnicity and race, leading to potential measurement error. In interviewer-administered surveys, answers to survey questions are achieved through interviewer–respondent interaction. An analysis of interviewer–respondent interaction can illuminate whether, when, how, and why respondents experience problems with questions. In this study, we examine how indicators of interviewer–respondent interactional problems vary across ethnoracial groups when respondents answer questions about ethnicity and race. Further, we explore how interviewers respond in the presence of these interactional problems. Data are provided by the 2013–2014 Voices Heard Survey, a computer-assisted telephone survey designed to measure perceptions of participating in medical research among an ethnoracially diverse sample of respondents.
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来源期刊
Field Methods
Field Methods Multiple-
CiteScore
2.70
自引率
5.90%
发文量
41
期刊介绍: Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.
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